Fall 2026

Nanofabrication Intern

Periodic Labs

Periodic Labs

51-200 employees

AI-driven materials discovery and design

No salary listed

H1B Sponsorship Available

Menlo Park, CA, USA

In Person

Work is on-site at the lab and external cleanroom facilities in the Bay Area.

Bachelor's, Master's, PhD

Category
Hardware Engineering
Required Skills
Metrology

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Requirements
  • Currently pursuing or recently completed a Bachelor's, Master's, or PhD in electrical engineering, materials science, applied physics, mechanical engineering, chemical engineering, chemistry, or a related field.
  • Hands-on experience in a university cleanroom, nanofabrication facility, semiconductor lab, photonics lab, MEMS lab, or related research environment.
  • Practical exposure to lithography, deposition, and etch processes, with an understanding of how these steps connect in a device fabrication flow.
  • Experience working with silicon-based microelectronic, photonic, MEMS, optical, or semiconductor devices.
  • Comfort spending real time at tools, following cleanroom protocols, logging process details, and learning new equipment quickly.
  • Strong documentation habits and attention to detail.
  • Ability to work independently in shared research facilities while escalating issues appropriately and learning from senior team members.
Responsibilities
  • Execute hands-on nanofabrication processes for silicon-based microelectronic, photonic, MEMS, or optical devices, including lithography, thin-film deposition, etch, substrate preparation, and related cleanroom workflows.
  • Support lithography processes such as spin coating, baking, mask alignment, exposure, development, lift-off, and optical inspection.
  • Operate or support thin-film deposition processes such as sputtering, evaporation, physical vapor deposition, pulsed laser deposition, atomic layer deposition, plasma-enhanced chemical vapor deposition, or related techniques.
  • Run or assist with etch processes such as wet etching, plasma etching, reactive-ion etching, inductively coupled plasma reactive-ion etching, or other dry etch workflows.
  • Prepare substrates, manage process flows, track samples, and maintain detailed experimental records that meet the metadata and data quality standards required for AI training.
  • Perform basic structural, optical, electrical, or morphological characterization, potentially including profilometry, ellipsometry, scanning electron microscopy, optical microscopy, X-ray diffraction/X-ray reflectometry, four-point probe, or related metrology.
  • Work with senior scientists and engineers to troubleshoot process issues, identify failure modes, and iterate on recipes or workflows.
  • Collaborate with materials science, AI, and automation teams to connect fabrication results with model predictions and experimental planning.
  • Follow rigorous laboratory safety and facility protocols, including those required by external shared cleanroom facilities.
Desired Qualifications
  • Experience with full or partial device fabrication flows involving lithography, deposition, etch, and characterization.
  • Hands-on experience with specific tools or techniques such as mask aligners, spin coaters, sputtering, evaporation, atomic layer deposition, plasma-enhanced chemical vapor deposition, reactive-ion etching, inductively coupled plasma reactive-ion etching, profilometry, ellipsometry, scanning electron microscopy, or four-point probe.
  • Experience fabricating silicon photonics, MEMS, optoelectronic devices, sensors, thin-film devices, or other micro/nanoscale structures.
  • Experience working in shared cleanroom environments, including completing facility-specific safety training, navigating tool reservation systems, and operating within shared-use norms.
  • Exposure to functional materials in thin-film or device form, including oxides, nitrides, metals, semiconductors, superconductors, magnetics, ferroelectrics, or multilayer stacks.
  • Interest in working at the intersection of experimental science, nanofabrication, and AI-driven discovery.

Periodic Labs uses AI to model, predict, analyze, and design new materials. Its platform studies material properties and high-throughput data to propose viable compositions, structures, and processing methods that meet performance targets. By training models on large scientific datasets and running simulations, the company speeds up discovery and lowers costs compared with traditional lab work, drawing on founders’ experience from OpenAI and DeepMind. The goal is to accelerate the discovery of materials for clean energy, better semiconductors, and resilient manufacturing, differentiating itself through deep AI expertise applied specifically to materials science and potential collaboration with major AI groups.

Company Size

51-200

Company Stage

Seed

Total Funding

$300M

Headquarters

San Francisco, California

Founded

2025

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Simplify Jobs

Simplify's Take

What believers are saying

  • September 2025 seed hit $300 million from a16z, Nvidia, Jeff Bezos, and Jeff Dean.
  • By August 2026, Periodic Labs posted 28 jobs, including lab automation and semiconductor roles.
  • Periodic.com listed a16z, Felicis, DST, Accel, and NVentures as backers in August 2026.

What critics are saying

  • Bloomberg on March 25, 2026 said the $7 billion round stayed unfinished.
  • AMP-led financing cannot offset a lab-heavy burn if experiments fail.
  • If superconductors and semiconductors miss milestones by 2027, customers buy incumbents' tools.

What makes Periodic Labs unique

  • Liam Fedus and Ekin Doğuş Çubuk fuse OpenAI scale with DeepMind materials expertise.
  • Periodic Labs pairs frontier models with autonomous labs, not software-only discovery.
  • Its superconductors-first thesis and semiconductor focus target high-value physical-science bottlenecks.

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Benefits

Professional Development Budget

Growth & Insights and Company News

Headcount

6 month growth

-4%

1 year growth

-10%

2 year growth

-10%
Tech With Africa
May 25th, 2026
Former OpenAI researcher's startup Periodic Labs seeks $500 million for ai-driven scientific discovery.

Former OpenAI researcher's startup Periodic Labs seeks $500 million for ai-driven scientific discovery. May 25, 2026 Periodic Labs is reportedly in advanced talks to raise at least $500 million in a new funding round that could value the company at $7.5 billion. The fundraising effort marks a sharp rise for the San Francisco-based startup, which was founded less than a year ago and focuses on using artificial intelligence and automated laboratories to accelerate scientific discovery in physics and chemistry. According to reports, the funding round is expected to be led by AMP, an investment vehicle created by former Andreessen Horowitz general partner Anjney Midha. Sources familiar with the deal said investor demand has been extremely strong, with the round reportedly oversubscribed and discussions already taking place around an additional funding round at an even higher valuation. If completed at the reported valuation, Periodic Labs' value would rise nearly six times from the $1.3 billion valuation it received during its $300 million seed round announced in September 2025. The company was founded by Liam Fedus, previously vice president of research at OpenAI, alongside Ekin Dogus Cubuk, a former research scientist at Google DeepMind. Periodic Labs is developing what it describes as an AI scientist capable of conducting scientific experiments through autonomous robotic laboratories. The company's technology combines artificial intelligence models with automated lab systems designed to run thousands of experiments in areas such as chemistry and physics. The goal is to generate new scientific data and speed up the discovery of advanced materials. One of the company's current research areas involves searching for new superconductors capable of operating at higher temperatures. Such materials could eventually improve energy systems, electronics, and industrial technologies. Periodic Labs is also working with companies in the semiconductor industry, where its AI-driven research tools are being used to support product development and scientific testing. The startup has already attracted high-profile talent from major AI companies. Reports indicate the company has hired more than 20 researchers from firms including Meta, OpenAI, and DeepMind, with some employees reportedly leaving large compensation packages to join the venture. The rise of Periodic Labs reflects a growing trend in the global artificial intelligence industry, where researchers are increasingly focusing on AI systems capable of scientific reasoning and autonomous discovery rather than only consumer chatbots. Sam Altman, chief executive of OpenAI, has repeatedly described scientific discovery as one of AI's most important long-term uses. Similarly, Demis Hassabis has argued that solving intelligence through AI could help solve major scientific and societal challenges, pointing to breakthroughs such as AlphaFold's protein-folding research, which contributed to his Nobel Prize in Chemistry in 2024. As investment in AI infrastructure and research accelerates globally, startups like Periodic Labs are attracting increasing attention from investors seeking to back technologies capable of transforming scientific research and industrial innovation. Don't miss an update. Be the first to know when Techwithafrica publish something new May 21, 2026 In "Opportunities" Algeria has launched its first startup cluster focused on artificial intelligence and cybersecurity, as part of a wider plan to turn its strong pool of technical talent into real economic growth. The new cluster is based at the Scientific and Technological Pole Chahid Abdelhafid-Ihaddaden in Sidi Abdellah. It was introduced... April 21, 2026 In "Artificial Intelligence" April 21, 2026 In "Artificial Intelligence"

TechCrunch
Sep 30th, 2025
Former OpenAI and DeepMind researchers raise whopping $300M seed to automate science  | TechCrunch

Periodic Labs has raised from a tech industry who's who, including Andreessen Horowitz, Nvidia, Elad Gil, Jeff Dean, Eric Schmidt, and Jeff Bezos.

Bloomberg
Aug 8th, 2025
Ex-OpenAI, DeepMind Staffers Set for $1.5 Billion Value in Andreessen-Led Round

Venture firm Andreessen Horowitz has agreed to lead a $200 million investment in Periodic Labs, a new startup building artificial intelligence for material science, according to people familiar with the matter.